Tom, please subscribe to matplotlib users at
http://lists.sourceforge.net/mailman/listinfo/matplotlib-users and
direct questions to the mailing list rather than me directly. I'm
forwarding this question on to the list
---------- Forwarded message ----------
From: <[EMAIL PROTECTED]>
Date: Sat, Jul 19, 2008 at 9:59 AM
Subject: Multiple plots from multiple files in one figure?
To: [EMAIL PROTECTED]
John,
Thanks for all the great work.
I'm new to both matplotlib & Python, so please forgive any ignorance.
I would like to plot multiple CSV files on a single set of axes.
Specifically, I want to duplicate your Yahoo ticker data example, but
plotting multiple tickers on the same figure so that I can compare
performance.
Is there some easy way to do this?
Thanks for the help.
Tom
John Hunter-4 wrote:
>
> On 6/8/07, Lionel Roubeyrie <[EMAIL PROTECTED]> wrote:
>> Hi John,
>> very very interesting idea.
>> Is there a way to add some extras informations on the records arrays
>> columns,
>> like the units or/and the desired labels for the resulting plotted lines,
>> directly retrieved in the CSV files?
>
> It could be done, but my goal here is not to create a persistence
> layer for record arrays, or a method of describing them or mpl labels,
> but rather a way to easily import 3rd party CSV files into numpy
> record arrays. I work with a lot of tab/space/ascii delimited files,
> and found myself duplicating a lot of code importing them into record
> arrays. This function is the distillation of that code. It would be
> fairly easy to add designated rows for those who did want to decorate
> their CSV files. I think it might be most useful to support a row
> that provided a numpy dtype per column, or perhaps the name of a
> converter function...
>
> One thing people coming from gnuplot miss is file plotting
> functionality. I just added a function to pylab called plotfile which
> uses the csv2rec functionality (with autolabeling etc) to plot data
> from a file. Eg,
>
>>>> plotfile(fname, (0,5,6))
>
> plots columns 5 and 6 against column 0. And
>
>>>> plotfile(fname, ('date', 'volume', 'adj_close'),
> plotfuncs={'volume': 'bar'})
>
> does the same using the names of the columns, using "plot" for
> adj_close (the default) and "bar" for volume (customization from the
> plotfuncs dictionary). The column names in either case are used to
> create default x and y labels.
>
> The 2nd command produces the attached plot. This is just a first
> pass, so if people want to see a different interface or have an
> opinion what should be returned, or where this function should live
> outside of pylab, feel free to comment or commit changes.
>
> JDH
>
>
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Quoted from:
http://www.nabble.com/record-array-and-date-support-tp11011990p11027947.html
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